Results 261 to 270 of about 3,423,786 (296)
Some of the next articles are maybe not open access.
Mining Link Patterns in Linked Data
2012As the explosive growth of online linked data, an emerging problem is what and how we can learn from these data. An important knowledge we can obtain is the link patterns among objects, which are helpful for characterizing, analyzing and understanding of linked data. In this paper, we present a novel approach of mining link patterns.
Xiang Zhang +3 more
openaire +1 more source
2010
Semantic Web applications that include map visualization clients are becoming common. When the description of an entity contains coordinate pairs, semantic applications often lay them as pins on maps provided by Web mapping service applications, such as Google Maps.
Francisco J. López-Pellicer +4 more
openaire +2 more sources
Semantic Web applications that include map visualization clients are becoming common. When the description of an entity contains coordinate pairs, semantic applications often lay them as pins on maps provided by Web mapping service applications, such as Google Maps.
Francisco J. López-Pellicer +4 more
openaire +2 more sources
Proceedings of the 22nd International Conference on World Wide Web, 2013
In the world of Linked Data, HTTP URIs are names. A URI is dereferenced to obtain a copy or description of the referred resource. If only a fragment of a resource should be referred, pointing to the whole resource is not sufficient. Therefore, it is necessary to be able to refer to fragments of resources, and to name them with URIs to interlink them in
Kai Michael Höver, Max Mühlhäuser
openaire +1 more source
In the world of Linked Data, HTTP URIs are names. A URI is dereferenced to obtain a copy or description of the referred resource. If only a fragment of a resource should be referred, pointing to the whole resource is not sufficient. Therefore, it is necessary to be able to refer to fragments of resources, and to name them with URIs to interlink them in
Kai Michael Höver, Max Mühlhäuser
openaire +1 more source
2012
Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks.
Koubarakis, M +3 more
openaire +2 more sources
Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks.
Koubarakis, M +3 more
openaire +2 more sources
Link scientific publications using linked data
Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015), 2015Scientific publication management services are changing drastically. On the one hand, researchers demand intelligent search services to discover scientific publications. On the other hand, publishers need to incorporate semantic information to better organize their digital assets and make publications more discoverable. For this purpose, we investigate
Qingliang Miao +4 more
openaire +2 more sources
From linked data to linked entities
Proceedings of the 21st International Conference on World Wide Web, 2012Entities have been deserved special attention in the latest years, however their identification is still troublesome. Existing approaches exploit ad hoc services or centralized architectures. In this paper we present a novel approach to recognize naturally emerging entity identifiers built on top of Linked Data concepts and protocols.
Bartolomeo, G, SALSANO, STEFANO DOMENICO
openaire +2 more sources
2013
By leveraging Semantic Web technologies, Linked Open Data provides an extensive amount of structured information in a wide variety of domains. Principles of Liked Data facilitate access and re-use of semantic information, both for human and machine consumption. However, information overload due to the availability of a large amount of semantic data, as
Rouzbeh Meymandpour, Joseph G. Davis
openaire +1 more source
By leveraging Semantic Web technologies, Linked Open Data provides an extensive amount of structured information in a wide variety of domains. Principles of Liked Data facilitate access and re-use of semantic information, both for human and machine consumption. However, information overload due to the availability of a large amount of semantic data, as
Rouzbeh Meymandpour, Joseph G. Davis
openaire +1 more source
2013
Assessing the quality of linked data currently published on the Web is a crucial need of various data-intensive applications. Extensive work on similar applications for relational data and queries has shown that data provenance can be used in order to compute trustworthiness, reputation and reliability of query results, based on the source data and ...
Grigoris Karvounarakis +2 more
openaire +1 more source
Assessing the quality of linked data currently published on the Web is a crucial need of various data-intensive applications. Extensive work on similar applications for relational data and queries has shown that data provenance can be used in order to compute trustworthiness, reputation and reliability of query results, based on the source data and ...
Grigoris Karvounarakis +2 more
openaire +1 more source
A Spectrometry of Linked Data. [PDF]
, 2012 Entity mining is still a troublesome open problem. In past years many approaches allowed to automate the generation of equivalence links between references using schema matching or various heuristics based on the recognition of similar property values.
Bartolomeo, G, SALSANO, STEFANO DOMENICO
openaire +1 more source